Identify User Journeys at Pinterest

pinterest技术

Next Gen Data Processing at Massive Scale At Pinterest With Moka (Part 1 of 2)

pinterest技术

Why AI Needs a Face: Building Dew, My Duolingo-Inspired AI Character

From deployment slop to production reality: How BriX bridges the gap with enterprise-grade AI infrastructure

grab技术

Powered by AI: Instagram’ s Explore recommender system

instagram技术

High quality GIF with FFmpeg

Building Production-Ready Agentic Systems: Lessons from Shopify Sidekick

shopify技术

How Uber Conquered Database Overload: The Journey from Static Rate-Limiting to Intelligent Load Management

uber技术

How We Built a Custom Vision LLM to Improve Document Processing at Grab

grab技术

How to Create 3D Images in CSS with the Layered Pattern

Load Testing with Impulse at Airbnb

airbnb技术

Your Images Are (Probably) Oversized

Blazing Fast OLAP on Uber’ s Inventory and Catalog Data with Apache Pinot™

uber技术

Unlocking the Power of Customization: How Our Enrichment System Transforms Recommendation Data Enrichments

booking技术

Next-Level Personalization: How 16k+ Lifelong User Actions Supercharge Pinterest’ s Recommendations

pinterest技术

inicio - Wiki
Copyright © 2011-2026 iteam. Current version is 2.155.0. UTC+08:00, 2026-03-11 10:18
浙ICP备14020137号-1 $mapa de visitantes$